477 citations · 972 across the 72 of their papers we have counts for
8 papers · 1 filter
Learning from Trajectories via Subgoal Discovery
Sujoy Paul, Jeroen van Baar, Amit K. Roy-Chowdhury
Learning to solve complex goal-oriented tasks with sparse terminal-only rewards often requires an enormous number of samples. In such cases, using a set of expert trajectories coul…
Multiple Kernel Fisher Discriminant Metric Learning for Person Re-identification
T M Feroz Ali, Kalpesh K Patel, Rajbabu Velmurugan +1
Person re-identification addresses the problem of matching pedestrian images across disjoint camera views. Design of feature descriptor and distance metric learning are the two fun…
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-identification
Xueping Wang, Rameswar Panda, Min Liu +2
Many unsupervised approaches have been proposed recently for the video-based re-identification problem since annotations of samples across cameras are time-consuming. However, high…
Prediction and Description of Near-Future Activities in Video
Tahmida Mahmud, Mohammad Billah, Mahmudul Hasan +1
Most of the existing works on human activity analysis focus on recognition or early recognition of the activity labels from complete or partial observations. Similarly, almost all…
Context-Aware Query Selection for Active Learning in Event Recognition
Mahmudul Hasan, Sujoy Paul, Anastasios I. Mourikis +1
Activity recognition is a challenging problem with many practical applications. In addition to the visual features, recent approaches have benefited from the use of context, e.g.,…
Weakly Supervised Video Moment Retrieval From Text Queries
Niluthpol Chowdhury Mithun, Sujoy Paul, Amit K. Roy-Chowdhury
There have been a few recent methods proposed in text to video moment retrieval using natural language queries, but requiring full supervision during training. However, acquiring a…
Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries
Jawadul H. Bappy, Cody Simons, Lakshmanan Nataraj +2
With advanced image journaling tools, one can easily alter the semantic meaning of an image by exploiting certain manipulation techniques such as copy-clone, object splicing, and r…
Detecting GAN generated Fake Images using Co-occurrence Matrices
Lakshmanan Nataraj, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran +4
The advent of Generative Adversarial Networks (GANs) has brought about completely novel ways of transforming and manipulating pixels in digital images. GAN based techniques such as…